About Hiair.ai:
At Hiair.ai, we’re revolutionizing the way companies find the best talent through AI-powered matching technology. We’re an ambitious startup with a dynamic team, passionate about building tools that make recruitment smarter and more efficient. Join us in creating cutting-edge solutions for tomorrow’s hiring challenges!
Role Overview:
We are looking for a Full Stack Engineer who thrives in a fast-paced startup environment and is eager to contribute to both front-end and back-end development. As a Full Stack Engineer, you will collaborate closely with our product, design, and data science teams to develop features that enhance our AI-driven platform. This is an opportunity to make a significant impact on the future of talent acquisition through innovative, scalable technology.
Key Responsibilities:
- Develop, test, and deploy scalable web applications with a strong focus on performance and user experience.
- Work with our AI and data science teams to integrate machine learning models into the platform.
- Build APIs and microservices to support core functionalities.
- Collaborate with cross-functional teams to define, design, and ship new features.
- Maintain and optimize existing codebase and ensure high standards of software engineering practices.
- Participate in code reviews, technical discussions, and problem-solving sessions.
- Ensure responsive design and cross-browser compatibility across all platforms.
Qualifications:
- 3+ years of experience as a Full Stack Engineer or similar role.
- Strong proficiency in front-end technologies such as React.js, JavaScript, HTML, CSS.
- Experience with back-end technologies such as Node.js, Express.js, and Python.
- Proficiency with database technologies (e.g., PostgreSQL, MongoDB).
- Experience with cloud platforms like AWS, Google Cloud, or Azure.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes is a plus.
- Experience working in agile environments, with continuous integration and continuous deployment (CI/CD) pipelines.
- Excellent communication and collaboration skills.
- Bachelor’s degree in Computer Science or related field (or equivalent practical experience).
Preferred Qualifications:
- Experience integrating AI or machine learning models into applications.
- Familiarity with testing frameworks and best practices (e.g., Jest, Mocha).
- Understanding of secure web development practices.
- Knowledge of Git and version control workflows.